Smart Machines…and What They Can Still Learn from People
Δημοσιεύτηκε στις 21 Μαρ 2016
Gary Marcus
March 15, 2016
For nearly half a century, Artificial Intelligence (AI) has been more science fiction than science: exciting, possible, but just out of reach. And despite significant advances, "strong AI" in many ways remains elusive. Best-selling author and entrepreneur Gary Marcus provides a cognitive scientist's perspective on AI. What have we learned? What are we still struggling with? Perhaps most compelling, is there anything programmers of AI can still learn from studying the science of human cognition?
Gary Marcus is professor of psychology and neural science at NYU and CEO and co-founder of the recently-formed Geometric Intelligence, Inc. His books include the New York Times best-seller "Guitar Zero". He blogs for The New Yorker and is co-editor of the just-released collection "The Future of the Brain: Essays by the World's Leading Neuroscientists".
March 15, 2016
For nearly half a century, Artificial Intelligence (AI) has been more science fiction than science: exciting, possible, but just out of reach. And despite significant advances, "strong AI" in many ways remains elusive. Best-selling author and entrepreneur Gary Marcus provides a cognitive scientist's perspective on AI. What have we learned? What are we still struggling with? Perhaps most compelling, is there anything programmers of AI can still learn from studying the science of human cognition?
Gary Marcus is professor of psychology and neural science at NYU and CEO and co-founder of the recently-formed Geometric Intelligence, Inc. His books include the New York Times best-seller "Guitar Zero". He blogs for The New Yorker and is co-editor of the just-released collection "The Future of the Brain: Essays by the World's Leading Neuroscientists".
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